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Trend Fibo 1.618FIBONACCI TRENDLINE BREAKOUT SYSTEM Advanced indicator combining dynamic trendlines with ZigZag-based Fibonacci projections for precise entry and exit points. KEY FEATURES: - Dynamic trendline detection using pivot analysis - ZigZag-based Fibonacci level calculations - Multiple take profit targets (1.618, 2.618, 3.618, 4.618) - Automatic breakout signal generation - Historical price level visualization METHODOLOGY: Detects trendline breakouts and automatically draws Fibonacci retracements/extensions based on recent ZigZag swing points. Provides clear entry zones and multiple profit targets. USAGE: Best suited for swing trading on higher timeframes (4H-Daily). Combine with trend analysis for optimal results. DISCLAIMER: Educational purposes only. Past performance doesn't guarantee future results.
Pine Script® indicator
by Aliasqar414
1
PumpC PAC & MAsPumpC – PAC & MAs (Open Source) A complete Price Action Candles (PAC) toolkit combining classical price action patterns (Fair Value Gaps, Inside Bars, Hammers, Inverted Hammers, and Volume Imbalances) with a flexible Moving Averages (MAs) module and an advanced bar-coloring system. This script highlights supply/demand inefficiencies and micro-patterns with forward-extending boxes, recolors zones when mitigated, qualifies patterns with a global High-Volume filter, and ships with ready-to-use alerts. It works across intraday through swing trading on any market (e.g., NASDAQ:QQQ , $CME:ES1!, FX:EURUSD , BITSTAMP:BTCUSD ). This is an open-source script. The description is detailed so users understand what the script does, how it works, and how to use it. It makes no performance claims and does not provide trade advice. Acknowledgment & Credits This script originates from the structural and box-handling logic found in the Super OrderBlock / FVG / BoS Tools by makuchaku & eFe. Their pioneering framework provided the base methods for managing arrays of boxes, extending zones forward, and recoloring once mitigated. Building on that foundation, I have substantially expanded and adapted the code to create a unified Price Action Candles toolkit . This includes Al Brooks–inspired PAC logic, additional patterns like Inside Bars, Hammers, Inverted Hammers, and the new Volume Imbalance module, along with strong-bar coloring, close-threshold detection, a flexible global High-Volume filter, and a multi-timeframe Moving Averages system. What it does Fair Value Gaps (FVG) : Detects 3-bar displacement gaps, plots forward-extending boxes, and optionally recolors them once mitigated. Inside Bars (IB) : Highlights bars fully contained within the prior candle’s range, with optional high-volume filter. Hammers (H) & Inverted Hammers (IH) : Identifies rejection candles using configurable body/upper/lower wick thresholds. High-volume qualification optional. Volume Imbalances (VI) : Detects inter-body gaps where one candle’s body does not overlap the prior candle’s body. Boxes extend forward until wick-based mitigation occurs (only after the two-bar formation completes). Alerts available for creation and mitigation. Mitigation Recolor : Each pattern can flip to a mitigated color once price trades back through its vertical zone. Moving Averages (MAs) : Four configurable EMAs/SMAs, with per-MA timeframe, length, color, and clutter-free plotting rules. Strong Bar Coloring : Highlights bullish/bearish engulfing reversals with different colors for high-volume vs low-volume cases. Close Threshold Bars : Marks candles that close in the top or bottom portion of their range, even if the body is small. Helps spot continuation pressure before a full trend bar forms. Alerts : Notifications available for FVG+, FVG−, IB, H, IH, VI creation, and VI mitigation. Connection to Al Brooks’ PAC teachings This script reflects Al Brooks’ Price Action Candle methodology. PAC patterns like Inside Bars, Hammers, and Inverted Hammers are not trade signals on their own—they gain meaning in context of trend, failed breakouts, and effort vs. result. By layering in volume imbalances, strong-bar reversals, and volume filters, this script focuses attention on the PACs that show true participation and conviction, aligning with Brooks’ emphasis on reading crowd psychology through price action. Why the High-Volume filter matters Volume is a key proxy for conviction. A PAC or VI formed on light volume can be misleading noise; one formed on above-average volume carries more weight. Elevates Inside Bars that show absorption/compression with heavy activity. Distinguishes Hammers that reject price aggressively vs. weak drifts. Filters Inverted Hammers to emphasize true supply pressure. Highlights VI zones where institutional order flow left inefficiencies. Differentiates strong engulfing reversals from weaker, low-participation moves. Inputs & Customization Inputs are grouped logically for fast configuration: High-Volume Filter : Global lookback & multiple, per-pattern toggles. FVG : Visibility, mitigated recolor, box style/transparency, label controls. IB : Visibility, require high volume, mitigated recolor, colors, label settings. Hammer / IH : Visibility, require high volume, mitigated recolor, wick/body thresholds. VI : Visibility, require high volume, mitigated recolor, box style, labels, mitigation alerts. Strong Bars : Enable/disable, separate colors for high-volume and low-volume outcomes. Close Threshold Bars : Customizable close thresholds, labels, optional count markers. MAs : EMA/SMA type, per-MA toggle, length, timeframe, color. Alerts New Bullish FVG (+) New Bearish FVG (−) New Inside Bar (IB) New Hammer (H) New Inverted Hammer (IH) New Volume Imbalance (VI) VI Mitigated Strong Bullish Engulfing / Bearish Engulfing (high- and low-volume variants) Suggested workflow Choose your market & timeframe (script works across equities, futures, FX, crypto). Toggle only the PACs you actually trade. Assign distinct colors for clarity. Use MAs for directional bias and higher timeframe structure. Enable High-Volume filters when you want to emphasize conviction. Watch mitigation recolors to see which levels/zones have been interacted with. Use alerts selectively for setups aligned with your plan. Originality Builds upon Super OrderBlock / FVG / BoS Tools (makuchaku & eFe) for FVG/box framework. Expanded into a unified PAC toolkit including IB, H, IH, and VI patterns. Brooks-inspired design: Patterns contextualized with volume and trend, not isolated. Flexible high-volume gating with per-pattern toggles. New VI integration with wick-based mitigation. Strong Bar Coloring differentiates conviction vs weak reversals. MTF-aware MAs prevent clutter while providing structure. Open-source: Transparent for learning, editing, and extension. Disclaimer For educational and informational purposes only. This script is not financial advice. Trading carries risk—always test thoroughly before live use.
Pine Script® indicator
by PumpCTrader
2
LogPressure Envelope [BOSWaves]LogPressure Envelope – Adaptive Volatility & Trend Visualizer Overview LogPressure Envelope is a specialized trading tool designed to normalize market behavior using logarithmic price scaling while providing an adaptive framework for volatility and trend detection. The indicator calculates a log-based moving average midline, surrounds it with asymmetric volatility envelopes, and replaces the conventional cloud with progressive fan lines to present price action in a more interpretable form. By integrating rate-of-change midline coloring, fading trend strength, and structured buy/sell markers, LogPressure Envelope simplifies the reading of complex market dynamics. Its design makes it suitable for multiple trading approaches, including scalping, intraday, and swing trading, where volatility behavior and trend shifts must be understood quickly and objectively. Unlike static envelope indicators, LogPressure Envelope adapts continuously to price scale and volatility conditions. It evaluates log-transformed prices, applies configurable moving average methods (EMA, SMA, WMA), and derives asymmetric standard-deviation bands for both upside and downside moves. These envelopes are projected as fan lines with adjustable opacity, producing a layered volatility map that evolves with the market. This system ensures each visual element—midline shading, candle coloring, fan structure, and signal markers—reflects real-time market conditions, allowing traders to interpret volatility expansion, contraction, and directional bias with clarity. How It Works The foundation of LogPressure Envelope is the logarithmic transformation of price. By operating in log space, the indicator removes distortions caused by large nominal price differences across assets, enabling consistent analysis of both low-priced and high-priced instruments. A moving average of log prices is calculated (EMA, SMA, or WMA depending on user input) and then re-converted to normal price scale, forming the log midline. Standard deviation of log prices is then measured over a separate period, with independent multipliers for upside and downside deviations. This asymmetry captures the fact that markets often expand differently in bullish versus bearish phases. Instead of plotting a filled cloud, the envelope is expressed as ten equidistant fan lines stretching from the lower to upper boundary. Each line is shaded progressively to visualize volatility clustering and directional strength without overloading the chart. Trend determination is smoothed using a fade mechanism: shifts in bias do not flip instantly but gradually move toward the new state, producing fewer false transitions. Buy and sell markers are generated when trend strength crosses confirmation thresholds, ensuring signals are event-driven and contextually meaningful. Signals and Visuals LogPressure Envelope provides multiple layers of structured signals: Midline Bias – Central moving average colored by rate-of-change, reflecting directional acceleration or deceleration. Volatility Fan – Ten progressive lines forming a gradient between lower and upper bands, visually encoding volatility spread. Buy Signals – Labels below bars when upward trend strength is confirmed. Sell Signals – Labels above bars when downward trend strength is confirmed. Candle Coloring – Optional shading of candles based on trend alignment with the log midline, highlighting bullish, bearish, or neutral conditions. These signals remain clear even during high-volatility phases, with visual hierarchy maintained through progressive opacity control. Interpretation Trend Analysis : Midline direction and candle coloring provide continuous feedback on prevailing bias. Upward-sloping midlines with blue shading indicate bullish phases, while downward slopes with orange shading confirm bearish conditions. Volatility and Risk Assessment : Expansion of fan lines indicates rising volatility and potential breakout conditions; contraction indicates consolidation and possible mean reversion. Signal Confirmation : Buy and sell markers validate transitions when trend strength thresholds are crossed, aligning with volatility envelope dynamics. Market Context : Asymmetric envelopes allow traders to see where bearish acceleration differs from bullish expansion, improving interpretation of liquidity conditions and institutional pressure. Strategy Integration LogPressure Envelope can be applied across trading styles: Trend Following : Enter trades in the direction of midline bias, confirmed by buy or sell markers. Pullback Entries : Use midline retests during trending conditions as lower-risk continuation points. Volatility Breakouts : Identify sharp expansions in fan line spacing as early signals of directional moves. Reversal Strategies : Fade extreme envelope touches when momentum shows exhaustion and fan contraction begins. Multi-Timeframe Confirmation : Align signals from higher and lower timeframes to reduce noise and validate trade setups. Stop-loss levels can be set near the opposite envelope boundary, while targets may be managed through progressive volatility zones or midline convergence. Advanced Techniques For greater precision, LogPressure Envelope can be combined with other analytical tools: Pair with volume or liquidity measures to validate breakout or reversal conditions. Use momentum indicators to confirm ROC-based midline bias. Track sequences of fan line expansions and contractions to anticipate regime shifts in volatility. Apply across multiple timeframes to monitor how volatility clusters align at different market scales. Adjusting parameters such as envelope multipliers, moving average type, and fade bars allows the indicator to adapt to diverse asset classes and volatility environments. Inputs and Customization Midline Type : Select EMA, SMA, or WMA. Line Opacity : Control visibility of fan lines. Enable Candle Coloring : Toggle trend-based bar shading. MA Length / StdDev Length : Define periods for midline and volatility calculation. Multipliers : Set asymmetric scaling for upside and downside envelopes. Fade Bars : Control smoothness of trend strength transitions. Fan Lines : Adjust number of envelope subdivisions for visualization granularity. Why Use LogPressure Envelope LogPressure Envelope translates complex volatility and trend interactions into a structured and adaptive framework. By combining logarithmic normalization, asymmetric standard deviation envelopes, and smoothed trend confirmation, it allows traders to: Normalize price analysis across assets of different scales. Visualize volatility expansion and contraction in real time. Identify and confirm directional shifts with objective signal markers. Apply a disciplined system for trend, breakout, and reversal strategies. This indicator is designed for traders who want a systematic, visually clear approach to volatility-based market analysis without relying on static bands or arbitrary scaling.
Pine Script® indicator
by BOSWaves
5
Colored Trix with spike detectionColored TRIX with Spike Detection This indicator combines multiple TRIX oscillators (periods 5, 7, 10, 14) with advanced spike detection capabilities. Key features: Dynamic Color Coding: TRIX lines change color based on value (positive/negative) and slope direction, providing instant visual feedback on momentum shifts Multi-Period Analysis: Four different TRIX periods offer comprehensive momentum analysis across various timeframes Intelligent Spike Detection: Automatically identifies significant TRIX spikes using percentile-based thresholds and distance measurements from recent highs/lows Visual Markers: Highlights important levels with yellow dots and reference lines showing lowest, median, and average TRIX values during spike periods Customizable Parameters: Adjustable spike thresholds, distance percentiles, and color schemes to fit your trading style Alert System: Built-in alerts for positive and negative spike detection The indicator helps traders identify momentum changes, oversold/overbought conditions, and potential reversal points through sophisticated spike analysis. Perfect for swing trading and trend following strategies.
Pine Script® indicator
by Theterran
[Top] Simple ATR TP/SLSimple TP/SL from ATR (Locked per Bar) - Advanced Position Management Tool What This Indicator Does: Automatically calculates and displays Take Profit (TP) and Stop Loss (SL) levels based on Average True Range (ATR) Locks ATR values and direction signals at the start of each bar to prevent repainting and provide consistent levels Offers multiple direction detection modes including real-time candle-based positioning for dynamic trading approaches Displays entry, TP, and SL levels as clean horizontal lines that extend from the current bar Original Features That Make This Script Unique: Bar-Locked ATR System: ATR values are captured and frozen at bar open, ensuring levels remain stable throughout the bar's progression Multi-Modal Direction Detection: Four distinct modes for determining TP/SL positioning - Trend Following (EMA-based), Bullish Only, Bearish Only, and real-time Candle Based Real-Time Candle Flipping: In Candle Based mode, TP/SL levels flip immediately when the current candle changes from bullish to bearish or vice versa Persistent Line Management: Uses efficient line object management to prevent ghost lines and maintain clean visual presentation Flexible Base Price Selection: Choose between Open (static), Close (dynamic), or midpoint (H+L)/2 for entry level calculation How The Algorithm Works: ATR Calculation: Captures ATR value at each bar open using specified length parameter, maintaining consistency throughout the bar Direction Determination: Uses different methods based on selected mode - EMA crossover for trend following, or real-time candle color for dynamic positioning Level Calculation: TP level = Base Price + (Direction × TP Multiplier × ATR), SL level = Base Price - (Direction × SL Multiplier × ATR) Visual Management: Creates persistent line objects once, then updates their positions every bar for optimal performance Direction Modes Explained: Trend Following: Uses 5-period and 12-period EMA relationship to determine trend direction (locked at bar open) Bullish Only: Always places TP above and SL below entry (traditional long setup) Bearish Only: Always places TP below and SL above entry (traditional short setup) Candle Based: Dynamically adjusts based on current candle direction - flips in real-time as candle develops Key Input Parameters: ATR Length: Period for ATR calculation (default 14) - longer periods provide smoother volatility measurement TP Multiplier: Take profit distance as multiple of ATR (default 1.0) - higher values target larger profits SL Multiplier: Stop loss distance as multiple of ATR (default 1.0) - higher values allow more room for price movement Base Price: Reference point for level calculations - Open for static entry, Close for dynamic tracking Direction Mode: Method for determining whether TP goes above or below entry level How To Use This Indicator: For Position Sizing: Use the displayed SL distance to calculate appropriate position size based on your risk tolerance For Entry Timing: Wait for price to approach the entry level before taking positions For Risk Management: Set your actual stop loss orders at or near the displayed SL level For Profit Taking: Use the TP level as initial profit target, consider scaling out at this level Mode Selection: Choose Candle Based for scalping and quick reversals, Trend Following for swing trading Visual Style Customization: Line Colors: Customize TP line color (default teal) and SL line color (default orange) for easy identification Line Widths: Adjust TP/SL line thickness (1-5) and entry line thickness (1-3) for visibility preferences Clean Display: Lines extend 3 bars forward from current bar and update position dynamically Best Practices: Use on clean charts without multiple overlapping indicators for clearest visual interpretation Combine with volume analysis and key support/resistance levels for enhanced decision making Adjust ATR length based on your trading timeframe - shorter for scalping, longer for position trading Test different TP/SL multipliers based on the volatility characteristics of your chosen instruments Consider using Trend Following mode during strong trending periods and Candle Based during ranging markets
Pine Script® indicator
by TopTradesUA
EMA 1/8 Cross - Fixed Pip TP/SLEMA 1/8 Cross – Fixed Pip TP/SL This strategy is based on the crossover between EMA 8 and EMA 14 as trading signals: Long entry → when EMA 1 crosses above EMA 8 Short entry → when EMA 1 crosses below EMA 8 Features: Fixed pip Take Profit (TP) and Stop Loss (SL), fully adjustable in the settings. Customizable EMA Fast/Slow lengths for optimization. Pip size input to match different broker definitions (e.g., XAUUSD often uses 0.10 as one pip). Suitable for testing scalping or swing trading across multiple timeframes. ⚠️ Disclaimer: This script is intended for backtesting and educational purposes only. Please optimize parameters and apply proper risk management before using it on live accounts.
Pine Script® strategy
by milikgroupy_tv
1
Trading Stats BarSimple statistics bar designed to give important values for swing trading Most of the values are self explanatory Float Grade Combines float and float % designed to give a sense if the stock has the potential to move quickly. If the float is less than 20 million and float % less than 50, this has a high potential to make fast moves. Volume Run Rate Concept is to focus on the opening x minutes and average this value over the previous y days
Pine Script® indicator
by yannickwilson
Frozen 4H VWAP – Precision AnchoredFrozen 4H VWAP – Precision Anchored Like Ice The Frozen 4H VWAP – Precision Anchored delivers a clean, stable, and reliable view of the 4-hour Volume Weighted Average Price, designed for traders who want higher timeframe insights without intrabar noise or repainting. 🔹 Key Features: Non-Repainting: VWAP value is “frozen” at the close of each 4H candle — no mid-bar updates or flickering. 4H Timeframe Anchoring: Seamlessly pulls 4-hour VWAP values into any timeframe you’re trading on. Clear Trend Reference: Updates only when a new 4H candle begins, acting as a trustworthy anchor for support/resistance. Custom Source Option: Choose from different price sources (default: HLC3) to fit your strategy. Whether you're scalping, day trading, or swing trading, this indicator gives you a powerful edge by grounding your decisions in higher timeframe VWAP data — clear, calm, and frozen in time.
Pine Script® indicator
by Equanimity_raven
Rolling Correlation BTC vs Hedge AssetsRolling Correlation BTC vs Hedge Assets Overview This indicator calculates and plots the rolling correlation between Bitcoin (BTC) returns and several key hedge assets: • XAUUSD (Gold) • EURUSD (proxy for DXY, U.S. Dollar Index) • VIX (Volatility Index) • TLT (20y U.S. Treasury Bonds ETF) By monitoring these dynamic correlations, traders can identify whether BTC is moving in sync with risk assets or decoupling as a hedge, and adjust their trading strategy accordingly. How it works 1. Computes returns for BTC and each asset using percentage change. 2. Uses the rolling correlation function (ta.correlation) over a configurable window length (default = 12 bars). 3. Plots each correlation as a separate colored line (Gold = Yellow, EURUSD = Blue, VIX = Red, TLT = Green). 4. Adds threshold levels at +0.3 and -0.3 to help classify correlation regimes. How to use it • High positive correlation (> +0.3): BTC is moving together with the asset (risk-on behavior). • Near zero (-0.3 to +0.3): BTC is showing little to no correlation — neutral/independent moves. • Negative correlation (< -0.3): BTC is moving in the opposite direction — potential hedge opportunity. Practical strategies: • Watch BTC vs VIX: a spike in volatility (VIX ↑) usually coincides with BTC selling pressure. • Track BTC vs EURUSD: stronger USD often puts downside pressure on BTC. • Observe BTC vs Gold: during “flight to safety” events, gold rises while BTC weakens. • Monitor BTC vs TLT: rising yields (falling TLT) often align with BTC weakness. Inputs • Window Length (bars): Number of bars used to calculate rolling correlations (default = 12). • Comparison Timeframe: Default = 5m. Can be changed to align with your intraday or swing trading style. Notes • Works best on intraday charts (1m, 5m, 15m) for scalping and short-term setups. • Use correlations as context, not standalone signals — combine with volume, VWAP, and price action. • Correlations are dynamic; they can switch regimes quickly during macro events (CPI, NFP, FOMC). This tool is designed for traders who want to manage risk exposure by monitoring whether BTC is behaving as a risk-on asset or hedge, and to exploit opportunities during decoupling phases.
Pine Script® indicator
by leobuezo
Machine Learning BBPct [BackQuant]Machine Learning BBPct What this is (in one line) A Bollinger Band %B oscillator enhanced with a simplified K-Nearest Neighbors (KNN) pattern matcher. The model compares today’s context (volatility, momentum, volume, and position inside the bands) to similar situations in recent history and blends that historical consensus back into the raw %B to reduce noise and improve context awareness. It is informational and diagnostic—designed to describe market state, not to sell a trading system. Background: %B in plain terms Bollinger %B measures where price sits inside its dynamic envelope: 0 at the lower band, 1 at the upper band, ~ 0.5 near the basis (the moving average). Readings toward 1 indicate pressure near the envelope’s upper edge (often strength or stretch), while readings toward 0 indicate pressure near the lower edge (often weakness or stretch). Because bands adapt to volatility, %B is naturally comparable across regimes. Why add (simplified) KNN? Classic %B is reactive and can be whippy in fast regimes. The simplified KNN layer builds a “nearest-neighbor memory” of recent market states and asks: “When the market looked like this before, where did %B tend to be next bar?” It then blends that estimate with the current %B. Key ideas: • Feature vector . Each bar is summarized by up to five normalized features:   – %B itself (normalized)   – Band width (volatility proxy)   – Price momentum (ROC)   – Volume momentum (ROC of volume)   – Price position within the bands • Distance metric . Euclidean distance ranks the most similar recent bars. • Prediction . Average the neighbors’ prior %B (lagged to avoid lookahead), inverse-weighted by distance. • Blend . Linearly combine raw %B and KNN-predicted %B with a configurable weight; optional filtering then adapts to confidence. This remains “simplified” KNN: no training/validation split, no KD-trees, no scaling beyond windowed min-max, and no probabilistic calibration. How the script is organized (by input groups) 1) BBPct Settings • Price Source – Which price to evaluate (%B is computed from this). • Calculation Period – Lookback for SMA basis and standard deviation. • Multiplier – Standard deviation width (e.g., 2.0). • Apply Smoothing / Type / Length – Optional smoothing of the %B stream before ML (EMA, RMA, DEMA, TEMA, LINREG, HMA, etc.). Turning this off gives you the raw %B. 2) Thresholds • Overbought/Oversold – Default 0.8 / 0.2 (inside ). • Extreme OB/OS – Stricter zones (e.g., 0.95 / 0.05) to flag stretch conditions. 3) KNN Machine Learning • Enable KNN – Switch between pure %B and hybrid. • K (neighbors) – How many historical analogs to blend (default 8). • Historical Period – Size of the search window for neighbors. • ML Weight – Blend between raw %B and KNN estimate. • Number of Features – Use 2–5 features; higher counts add context but raise the risk of overfitting in short windows. 4) Filtering • Method – None, Adaptive, Kalman-style (first-order), or Hull smoothing. • Strength – How aggressively to smooth. “Adaptive” uses model confidence to modulate its alpha: higher confidence → stronger reliance on the ML estimate. 5) Performance Tracking • Win-rate Period – Simple running score of past signal outcomes based on target/stop/time-out logic (informational, not a robust backtest). • Early Entry Lookback – Horizon for forecasting a potential threshold cross. • Profit Target / Stop Loss – Used only by the internal win-rate heuristic. 6) Self-Optimization • Enable Self-Optimization – Lightweight, rolling comparison of a few canned settings (K = 8/14/21 via simple rules on %B extremes). • Optimization Window & Stability Threshold – Governs how quickly preferred K changes and how sensitive the overfitting alarm is. • Adaptive Thresholds – Adjust the OB/OS lines with volatility regime (ATR ratio), widening in calm markets and tightening in turbulent ones (bounded 0.7–0.9 and 0.1–0.3). 7) UI Settings • Show Table / Zones / ML Prediction / Early Signals – Toggle informational overlays. • Signal Line Width, Candle Painting, Colors – Visual preferences. Step-by-step logic A) Compute %B Basis = SMA(source, len); dev = stdev(source, len) × multiplier; Upper/Lower = Basis ± dev. %B = (price − Lower) / (Upper − Lower). Optional smoothing yields standardBB . B) Build the feature vector All features are min-max normalized over the KNN window so distances are in comparable units. Features include normalized %B, normalized band width, normalized price ROC, normalized volume ROC, and normalized position within bands. You can limit to the first N features (2–5). C) Find nearest neighbors For each bar inside the lookback window, compute the Euclidean distance between current features and that bar’s features. Sort by distance, keep the top K . D) Predict and blend Use inverse-distance weights (with a strong cap for near-zero distances) to average neighbors’ prior %B (lagged by one bar). This becomes the KNN estimate. Blend it with raw %B via the ML weight. A variance of neighbor %B around the prediction becomes an uncertainty proxy ; combined with a stability score (how long parameters remain unchanged), it forms mlConfidence ∈ . The Adaptive filter optionally transforms that confidence into a smoothing coefficient. E) Adaptive thresholds Volatility regime (ATR(14) divided by its 50-bar SMA) nudges OB/OS thresholds wider or narrower within fixed bounds. The aim: comparable extremeness across regimes. F) Early entry heuristic A tiny two-step slope/acceleration probe extrapolates finalBB forward a few bars. If it is on track to cross OB/OS soon (and slope/acceleration agree), it flags an EARLY_BUY/SELL candidate with an internal confidence score. This is explicitly a heuristic—use as an attention cue, not a signal by itself. G) Informational win-rate The script keeps a rolling array of trade outcomes derived from signal transitions + rudimentary exits (target/stop/time). The percentage shown is a rough diagnostic , not a validated backtest. Outputs and visual language • ML Bollinger %B (finalBB) – The main line after KNN blending and optional filtering. • Gradient fill – Greenish tones above 0.5, reddish below, with intensity following distance from the midline. • Adaptive zones – Overbought/oversold and extreme bands; shaded backgrounds appear at extremes. • ML Prediction (dots) – The KNN estimate plotted as faint circles; becomes bright white when confidence > 0.7. • Early arrows – Optional small triangles for approaching OB/OS. • Candle painting – Light green above the midline, light red below (optional). • Info panel – Current value, signal classification, ML confidence, optimized K, stability, volatility regime, adaptive thresholds, overfitting flag, early-entry status, and total signals processed. Signal classification (informational) The indicator does not fire trade commands; it labels state: • STRONG_BUY / STRONG_SELL – finalBB beyond extreme OS/OB thresholds. • BUY / SELL – finalBB beyond adaptive OS/OB. • EARLY_BUY / EARLY_SELL – forecast suggests a near-term cross with decent internal confidence. • NEUTRAL – between adaptive bands. Alerts (what you can automate) • Entering adaptive OB/OS and extreme OB/OS. • Midline cross (0.5). • Overfitting detected (frequent parameter flipping). • Early signals when early confidence > 0.7. These are purely descriptive triggers around the indicator’s state. Practical interpretation • Mean-reversion context – In range markets, adaptive OS/OB with ML smoothing can reduce whipsaws relative to raw %B. • Trend context – In persistent trends, the KNN blend can keep finalBB nearer the mid/upper region during healthy pullbacks if history supports similar contexts. • Regime awareness – Watch the volatility regime and adaptive thresholds. If thresholds compress (high vol), “OB/OS” comes sooner; if thresholds widen (calm), it takes more stretch to flag. • Confidence as a weight – High mlConfidence implies neighbors agree; you may rely more on the ML curve. Low confidence argues for de-emphasizing ML and leaning on raw %B or other tools. • Stability score – Rising stability indicates consistent parameter selection and fewer flips; dropping stability hints at a shifting backdrop. Methodological notes • Normalization uses rolling min-max over the KNN window. This is simple and scale-agnostic but sensitive to outliers; the distance metric will reflect that. • Distance is unweighted Euclidean. If you raise featureCount, you increase dimensionality; consider keeping K larger and lookback ample to avoid sparse-neighbor artifacts. • Lag handling intentionally uses neighbors’ previous %B for prediction to avoid lookahead bias. • Self-optimization is deliberately modest: it only compares a few canned K/threshold choices using simple “did an extreme anticipate movement?” scoring, then enforces a stability regime and an overfitting guard. It is not a grid search or GA. • Kalman option is a first-order recursive filter (fixed gain), not a full state-space estimator. • Hull option derives a dynamic length from 1/strength; it is a convenience smoothing alternative. Limitations and cautions • Non-stationarity – Nearest neighbors from the recent window may not represent the future under structural breaks (policy shifts, liquidity shocks). • Curse of dimensionality – Adding features without sufficient lookback can make genuine neighbors rare. • Overfitting risk – The script includes a crude overfitting detector (frequent parameter flips) and will fall back to defaults when triggered, but this is only a guardrail. • Win-rate display – The internal score is illustrative; it does not constitute a tradable backtest. • Latency vs. smoothness – Smoothing and ML blending reduce noise but add lag; tune to your timeframe and objectives. Tuning guide • Short-term scalping – Lower len (10–14), slightly lower multiplier (1.8–2.0), small K (5–8), featureCount 3–4, Adaptive filter ON, moderate strength. • Swing trading – len (20–30), multiplier ~2.0, K (8–14), featureCount 4–5, Adaptive thresholds ON, filter modest. • Strong trends – Consider higher adaptive_upper/lower bounds (or let volatility regime do it), keep ML weight moderate so raw %B still reflects surges. • Chop – Higher ML weight and stronger Adaptive filtering; accept lag in exchange for fewer false extremes. How to use it responsibly Treat this as a state descriptor and context filter. Pair it with your execution signals (structure breaks, volume footprints, higher-timeframe bias) and risk management. If mlConfidence is low or stability is falling, lean less on the ML line and more on raw %B or external confirmation. Summary Machine Learning BBPct augments a familiar oscillator with a transparent, simplified KNN memory of recent conditions. By blending neighbors’ behavior into %B and adapting thresholds to volatility regime—while exposing confidence, stability, and a plain early-entry heuristic—it provides an informational, probability-minded view of stretch and reversion that you can interpret alongside your own process.
Pine Script® indicator
by BackQuant
2
Market Structure Trend Change by TenAMTraderMarket Structure Trend Change Indicator Description: This indicator detects changes in market trend by analyzing swing highs and lows to identify Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL). It helps traders quickly see potential reversals and trend continuation points. Features: Automatically identifies pivots based on configurable left and right bars. Labels pivot points (HH, HL, LH, LL) directly on the chart (text-only for clarity). Generates buy and sell signals when a trend change is detected: Buy Signal: HL after repeated LLs. Sell Signal: LH after repeated HHs. Fully customizable signal appearance: arrow type, circle, label, color, and size. Adjustable minimum number of repeated highs or lows before a trend change triggers a signal. Alerts built in for automated notifications when buy/sell signals occur. Default Settings: Optimized for a 10-minute chart. Default “Min repeats before trend change” and pivot left/right bars are set for typical 10-min price swings. User Customization: Adjust the “Pivot Left Bars,” “Pivot Right Bars,” and “Min repeats before trend change” to match your trading style, chart timeframe, and volatility. Enable pivot labels for visual clarity if desired. Set alerts to receive notifications of trend changes in real time. How to Use: Apply the indicator to any chart and timeframe. It works best on swing-trading or trend-following strategies. Watch for Buy/Sell signals in conjunction with your other analysis, such as volume, support/resistance, or other indicators. Legal Disclaimer: This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Users should trade at their own risk and are solely responsible for any gains or losses incurred.
Pine Script® indicator
by TenAM_Trader
Nifty Power -> Nifty 50 chart + EMA of RSI + avg volume strategyThis strategy works in 1 hour candle in Nifty 50 chart. In this strategy, upward trade takes place when there is a crossover of RSI 15 on EMA50 of RSI 15 and volume is greater than volume based EMA21. On the other hand, lower trade takes place when RSI 15 is less than EMA50 of RSI 15. Please note that there is no stop loss given and also that the trade will reverse as per the trend. Sometimes on somedays, there will be no trades. Also please note that this is an Intraday strategy. The trade if taken closes on 15:15 in Nifty 50. This strategy can be used for swing trading. Some pine script code such as supertrend and ema21 of close is redundant. Try not to get confused as only EMA50 of RSI 15 is used and EMA21 of volume is used. I am using built-in pinescript indicators and there is no special calculation done in the pine script code. I have taken numbars variable to count number of candles. For example, if you have 30 minuite chart then numbars variable will count the intraday candles accordingly and the same for 1 hour candles.
Pine Script® strategy
by Archer_Trade
Camarilla Levels Pro Camarilla Levels Pro – Precision Intraday & Swing Trading Tool Unlock the full potential of Camarilla Pivot Levels for identifying high-probability reversal zones, breakout triggers, and intraday bias shifts. This indicator automatically calculates L1–L5 levels based on the Camarilla formula, updating daily for precise market adaptation. Whether you’re trading futures, forex, stocks, or crypto, you’ll instantly see: Reversal Zones – Where price historically reacts and traps traders. Breakout Zones – L4/L5 for bullish breakouts, L3/L2 for bearish reversals. Bias Shifts – Quickly gauge if the market is leaning long or short. Custom Alerts – Get notified when price touches or breaks your chosen level. Features: Auto-adjusting Camarilla levels for any symbol & timeframe Color-coded zones for instant visual recognition Optional mid-levels for scalpers Fully customizable styling to match your chart setup Ideal for: Day traders wanting precision entry/exit zones Swing traders watching key daily pivot breaks Scalpers looking for high-probability reaction points
Pine Script® indicator
by millerboy12345
1
Triple EMA with Alert | 21, 50, 200 EMA Strategy + Crossover🚀 Boost your trading edge with the Triple EMA with Alert — a professional-grade indicator designed for traders who want precise, real-time trend confirmation across short, medium, and long-term market movements. 🔹 What Makes This Indicator Powerful? Three Adjustable EMAs — Default: 21, 50, 200 periods (fully customizable 1–200). Toggle Visibility — Show only the EMAs you need for your strategy. Real-Time Alerts — Get notified instantly when: EMA 1 crosses EMA 2 → short-term trend change. EMA 2 crosses EMA 3 → medium-term trend alignment. Works on All Markets & Timeframes — Forex, crypto, stocks, indices, and commodities. 🔹 Why Traders Love It 📊 Multi-Timeframe Trend Confirmation — Filter out noise and trade with market momentum. 🎯 Accurate Crossover Signals — Identify bullish and bearish momentum shifts. 🔔 Hands-Free Monitoring — Alerts keep you informed even when you’re away from the chart. 💡 Versatile for Any Strategy — Perfect for scalping, swing trading, or long-term investing. 🔹 How to Use It Bullish Signal — EMA 1 crossing above EMA 2 or EMA 2 crossing above EMA 3. Bearish Signal — EMA 1 crossing below EMA 2 or EMA 2 crossing below EMA 3. Combine with support/resistance zones, RSI, or volume for higher probability trades. 📌 Pro Tip: Use EMA 21 & EMA 50 for momentum confirmation. Use EMA 200 to spot the overall market direction. If you’re serious about trend trading with precision, the Triple EMA with Alert will keep you one step ahead of market moves — no more missed entries or exits.
Pine Script® indicator
by noufalbinjalal
Enhanced RSI KDE | Advanced FiltersThis is an enhanced version of the excellent RSI (Kernel Optimized) indicator originally created by @fluxchart. Full credit goes to fluxchart for the innovative KDE (Kernel Density Estimation) concept and the solid foundation that made this enhancement possible. 🙏 CREDITS & ACKNOWLEDGMENTS Original Creator: @fluxchart - RSI (Kernel Optimized) Original Concept: Kernel Density Estimation applied to RSI pivot analysis Enhancement: Advanced filtering system and signal optimization- profitgang License: Mozilla Public License 2.0 🚀 WHAT'S NEW IN THIS ENHANCED VERSION Building upon fluxchart's brilliant KDE RSI foundation, this version adds: 🔥 Advanced Filtering System: Multi-Timeframe Confluence - Confirms signals across higher timeframes Volume Confirmation - Only signals on above-average volume Volatility Range Filter - Avoids signals in choppy or extreme conditions Trend Context Analysis - Considers overall market direction Adaptive Pivot Detection - Adjusts sensitivity based on market volatility 🎯 Signal Quality Improvements: Confluence Scoring - Each signal gets a quality score (1-6) Label Cooldown System - Prevents chart clutter with smart spacing Higher Activation Thresholds - More selective signal generation Risk Management Integration - Auto stop-loss and take-profit levels 📊 Enhanced Dashboard: Real-time filter status monitoring KDE probability percentages Confluence scores for both directions Volume and volatility readings ⚙️ HOW IT WORKS The indicator maintains fluxchart's core KDE methodology: Collects RSI values at historical pivot points Creates probability density functions using Gaussian/Uniform/Sigmoid kernels Identifies high-probability zones for potential reversals NEW: Multiple filters must align before generating signals, dramatically reducing false positives while maintaining the accuracy of high-probability setups. 🎛️ RECOMMENDED SETTINGS Confluence Score: 5/6 (very selective) Activation Threshold: Medium or High Multi-Timeframe: Enabled with 2/2 alignment Volume Filter: Enabled (1.5x threshold) All other filters: Enabled for maximum quality 📈 BEST USE CASES Swing Trading - Higher timeframe confirmation reduces whipsaws Quality over Quantity - Fewer but much higher probability signals Risk Management - Built-in stop/target levels for each signal Multi-Asset Analysis - Works on stocks, crypto, forex, commodities ⚠️ IMPORTANT NOTES This is a quality-focused indicator - expect fewer but better signals Backtest thoroughly on your specific assets and timeframes The original fluxchart indicator remains excellent for different trading styles Consider this an alternative approach, not a replacement 🤝 COLLABORATION & FEEDBACK Special thanks to @fluxchart for creating the original innovative KDE RSI concept. This enhancement wouldn't exist without that solid foundation. Feel free to suggest improvements or share your results! The goal is to build upon great work in the community.
Pine Script® indicator
by profitgang
Wolf Exit Oscillator Enhanced # Wolf Exit Oscillator Enhanced ## What it is (quick take) **Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards: 1. **Signal-line crossover** (to avoid bailing on shallow dips), and 2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check). Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold. > Works best **paired** with: > > * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries > * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context --- ## How to use it (operational workflow) 1. **Set your bands** * `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60). * Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**). * Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**). 2. **Choose strictness** * **Base mode**: the moment TSI crosses out of a band, you get an exit signal. * **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**. * **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends. 3. **Execute with structure** * **Full exit** when a signal fires, or * **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or * **Move stop** to lock gains once an exit signal prints. 4. **Alerts** * Set to **“Once per bar close”** to avoid intrabar flip-flop. * Use the two provided alert names for automation (see “Alerts” below). --- ## Signals & visuals * **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal). * **Horizontal bands** at `exitHigh` and `exitLow`. * **Labels**: * **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters). * **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters). **Alerts (stable names):** * **WolfExit — Exit Long** * **WolfExit — Exit Short** --- ## Non-repainting behavior (what to expect) * The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint. * **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals. * If you enable the EMA filter, that check is also evaluated at bar close. --- ## Every input explained (and how changing it alters behavior) ### Momentum engine (TSI) * **TSI Long EMA Length (`tsiLongLen`, default 25)** Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals. * **TSI Short EMA Length (`tsiShortLen`, default 13)** Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI. * **TSI Signal Line Length (`tsisigLen`, default 7)** Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals. ### Thresholds (the bands) * **Exit Threshold High (`exitHigh`, default +60)** Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner. * **Exit Threshold Low (`exitLow`, default −60)** Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch. ### Confirmation layers * **Require Signal Line Crossover (`enableSignalX`, default true)** On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits. * **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)** On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**. * **EMA Exit Confirmation Length (`exitEMALen`, default 50)** Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits. ### Visuals * **Show Histogram (`showHist`)** On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross). * **Plot Exit Signals (`showSignals`)** Toggle labels if you only want the lines/bands with alerts. --- ## Tuning recipes (quick, practical) * **Strong trend days (avoid premature exits)** * Keep **`enableSignalX = true`** and **`enableEMAFilter = true`** * Increase **`exitEMALen`** (e.g., 80) * Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70) * **Choppy/range days (exit faster, take the cash)** * **`enableEMAFilter = false`** (don’t wait for price filter) * **`enableSignalX`** optional; try off for quicker responses * Bring bands closer to **±50** to take profits earlier * **Scalping / lower timeframes** * Shorten **TSI lengths** a bit (e.g., 21/9/5) * Consider **`exitHigh=55 / exitLow=-55`** * Keep **histogram on** to visualize momentum flip risk * **Swing trading / higher timeframes** * Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100) * Wider bands (±65 to ±75) to catch bigger moves before exiting --- ## Playbooks (how to actually trade it) * **Entry from ABS NR FS, exit with Wolf** * Take entries from **ABS NR — Fail-Safe Confirm** (triangle). * Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic. * **Pyramid & protect** * Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band). * The first **Exit** signal → take partial, raise stop to last higher low / lower high. * **Mean-reversion fade management** * When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue. --- ## Suggested starting points * **Day trading (5–15m):** * TSI: **25 / 13 / 7** (default) * Bands: **+60 / −60** * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50** * Alerts: **Once per bar close** * **Scalping (1–3m):** * TSI: **21 / 9 / 5** * Bands: **±55** * Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed) * **Swing (1h–D):** * TSI: **35 / 21 / 9** * Bands: **+65 / −65** (or ±70) * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100** --- ## Best-practice pairings * **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)** * Take ABS triangles; let Wolf standardize exits so you’re not guessing. * **Context:** **ABS Companion Oscillator** * Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints. * If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority. --- ## Notes & disclaimers * This is an **exit signal tool**, not a strategy or broker. * Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials). * All evaluations are **current timeframe**; no higher-timeframe lookahead is used. * Markets change—tune the bands and confirmations per symbol/timeframe. --- **Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
Pine Script® indicator
by jensenvilhelm
X OR AVWAPX OR AVWAP is a multi-layered market mapping tool designed to combine Opening Range analysis, Anchored VWAP (AVWAP) positioning, and SMA markers into a unified visual framework. Opening Range (OR) Mapping The indicator supports two independent Opening Ranges, allowing traders to define both a primary range and a micro range for finer analysis. This is particularly effective when viewing lower timeframes, where a smaller OR inside the larger OR reveals intraday microstructure. OR #1 and OR #2 each have configurable session times, colors, and optional midpoint lines. Historical OR boxes can be shown or hidden, with the ability to extend levels forward in time. Optional Fibonacci-based expansion levels (0.5x, 1x, 1.5x, 2x, 3x OR) are available for projecting breakout targets and retracement zones. Traders can toggle high/low lines, midpoints, and labels independently for cleaner chart presentation. Anchored VWAP (AVWAP) Layers To track institutional capital flow and session bias, the indicator offers three separate AVWAP anchors, each independently controlled: Can be anchored to custom events, sessions, or manual reference points. Enables granular capital flow mapping down to 4-hour increments, helping traders align intraday trades with broader directional bias. Each AVWAP can be toggled on/off to avoid clutter and isolate the most relevant flow line for the current setup. SMA Markers For additional context, simple moving average markers can be displayed alongside OR and AVWAP structure, helping gauge trend direction and mean-reversion potential. Use Case This tool is built for traders who want to combine structure, flow, and trend in a single view. On lower timeframes, the dual OR feature allows for a “range-within-a-range” perspective, revealing short-term liquidity pockets inside the day’s primary auction boundaries. The multi-anchor AVWAPs track how price interacts with session-based weighted averages, highlighting points where institutional bias may shift. When combined with SMA markers, the trader gains a comprehensive map for scalping, intraday swing trading, and capital flow tracking.
Pine Script® indicator
by KinetiCapital
Triple Pivot Fib Levels Multi-Timeframe# 📈 Triple Pivot Fibonacci Levels Multi-Timeframe ## 🎯 Description Advanced indicator that displays **three independent Fibonacci level sets** across different timeframes, enabling identification of **confluence zones** and key levels for multi-temporal trading strategies. ## ✨ Key Features - **🔵 Fibonacci 1**: Primary analysis (default: Daily) - **🟠 Fibonacci 2**: Intermediate analysis (default: 1H) - **🟢 Fibonacci 3**: Complementary analysis (default: 4H) ## 📊 Included Levels **Retracements**: 0%, 38.2%, 50%, 61.8%, 79%, 89%, 100% **Extensions**: 112%, 127%, 162% ## ⚙️ Features ✅ **Multi-timeframe**: Each Fibonacci uses pivots from different timeframes ✅ **Full customization**: Colors, line thickness, label positioning ✅ **Alert system**: Notifications when price touches levels ✅ **Invert Fibonacci**: For bullish or bearish trends ✅ **Countdown**: Timer for current candle close ✅ **Memory optimization**: Automatic deletion of previous elements ## 🎨 Customization Options - Colors and styles for each Fibonacci set - Label positioning (right/left/both) - Adjustable alert sensitivity - Configurable pivot timeframes ## 💡 Strategic Usage Perfect for identifying: - **Confluence zones** between different timeframes - **Multi-temporal support/resistance** levels - **Precise entry/exit points** - **Price targets** for take profits ## 🚀 Ideal For - Swing Trading - Multi-timeframe Day Trading - Advanced Technical Analysis - Fibonacci Confluence Strategies --- *Complete indicator for traders who want to harness the power of Fibonacci levels across multiple time dimensions.*
Pine Script® indicator
by alessia1973f